The Future of Forecasting

September 16, 2010

by Jack Sweeney

Last July, as IBM Vice President of Investor Relations Patricia Murphy prepared to introduce the company's CFO, Mark Loughridge, at the start of the technology giant's 2Q earnings call, she once more issued the boilerplate disclaimer intended to shield the company from liability for forward-looking comments.

"Let me remind you that certain comments made in this presentation may be characterized as forward-looking. ...Those statements involve a number of factors that could cause actual results to differ materially," cautioned Murphy, repeating the requisite disclosure statement dispatched by top IR executives everywhere.

However, in the case of IBM -- and the world of finance at large -- the act of hitching rescue lines to forward-looking statements underscores the irony of being a CFO these days: Finance leaders remain tethered to the past even as they are implored to explore the future.

Today, in the wake of the downturn's surprise bite and in an economy that leaves no hint as to what's around the next turn, finance has been handed an urgent edict to stop spending so much time reporting what's already occurred and to start informing management about what's yet to happen.

A Multilingual Approach

At IBM, this edict recently led to a forecasting "bake-off" between the company's traditional finance forecasters and a team of forecasters fielded by the company's research organization. The research team's revenue forecasting model won -- an undeniable blow to traditional forecasting models and a decisive win for greater collaboration between IBM finance and a renowned research organization.

"Correctly identifying external factors and incorporating them into company forecasting models is becoming a top finance priority as more companies look to improve forecasting capabilities," says Sean Kracklauer, president of advisory services and research for The Hackett Group.

According to Hackett's 2010 Finance Book of Numbers, finance executives identified the improvement of forecasting capabilities as their number one priority for the finance function in 2010.

Steve Player, founder of the consultancy The Player Group, uses the analogy of a hurricane response center when characterizing finance's growing focus on the future.

"Hurricane response centers don't just go back and assess damage, they get out in front of the storm and into a position where they're anticipating what's happening. They have contingency plans in place, and they know what they will do if the storm moves left or right," explains Player, who says that finance now fills the "navigator function" for a firm.

As such, Player says, finance is the translator for the organization and must be "multilingual" in order to tear down any figurative language barriers that exist.

In the case of IBM, the company's recent forecasting "bake-off" was intended to remedy just such a communications challenge.

"Initially, our finance team was hesitant to adopt the research team’s model because they felt that the complexity of the algorithms led to a lack of transparency underneath the covers, so we said, ‘Let’s have a bake-off for about 6 months, and we’ll measure the accuracy of both,’” says Marc Berson, director of business analytics within finance IT. “Finance and research didn’t speak the same language in terms of the process used to achieve the end result, but at the end of the day, empirically the accuracy of the forecasted numbers versus the actuals can’t be ignored."

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Forecasting

the future Forecasting is not an easy task but it can be done with the math calculations.

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Forecasting

Forecasting is not an easy task
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The Web-enabled Pipeline

The Web-enabled Pipeline presents product information in an intuitive tree-and-branch representation using plain-language terms, not cryptic item numbers. Users can review entire product families or any other desired category by history, forecast, customer forecast, budget or capacity.

Forecasting

A contingency plan is necessary - it's just that sometimes people get lax. The bank problem really shouldn't have been a surprise - the economy goes up and down, and it's to be forecasted, ideally. It's always difficult for small businesses though. Sometimes it's nice not to, and just go for it!

Fairly insightful post.

Fairly insightful post. Never believed that it was this simple after all. I had spent a excellent deal of my time looking for someone to explain this subject clearly and you're the only 1 that ever did that. Kudos to you! Keep it up
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Blog

An interesting article. I can certainly see the advantages of scenario planning but I wonder how such huge companies can translate forecasts made using this methodology to the management decisions they make. If you have 5 or 6 scenarios, both good and bad, there is a high likelihood that some of these would invoke operational decisions that are in conflict with one another.

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If you have 5 or 6 scenarios, both good and bad, there is a high likelihood that some of these would invoke operational decisions that are in conflict with one another.

Operational decisions conflict

I agree with this statement because with so many scenarios the possibility of conflicting decisions is highly probable. I agree the traditional way of historical base forecasting isn't enough, but it is a safer method. Using formulas that have very little meaning behind them seems to be rather risky. I do budget forecasting it isn't easy to read the crystal ball. At times I've been successful and other times I missed my forecast because of unknown variables. It is important to build contingency in your forecast to compensate for unknown variables. The problem is knowing how much to include in your contingency. You don't want your contingency too high or too low so I use a 10% buffer in my budget forecasts, this seems to work better for me.

You actually make it appear

You actually make it appear really easy along with your presentation however I to find this matter to be really something which I think I'd by no means understand. It kind of feels too complex and very wide for me. I'm looking ahead to your subsequent publish, I will try to get the hold of it!
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IBM forcasting

The forecasting model may work fine for companies with stable financing conditions that are rich with cash. Start ups and small businesses that are attempting to expand cannot use this model because you cannot predict the behavior of a bank that refuses to lend in all circumstances.

not viable for small businesses

I think in theory this model may work for smaller businesses and start-ups as well. The number of factors to consider just becomes larger. On the other hand of course, if there are too many factors to be considered the ressources needed for the forecast might exceed their means.